Planetary-scale answers, unlocked.
A Hands-On Guide for Working with Large-Scale Spatial Data. Learn more.
Ryan is a Senior Machine Learning Engineer leading the development of RasterFlow. He enjoys building distributed systems that enable insights that improve environmental decision making.
How Wherobots builds with NVIDIA to let AI see the physical world
The world and what happens in it is digitized by petabytes of raw and derivative spatial datasets of various data types and scales, and the potential for applying AI to it is immense. But the AI models and agents we use every day need connectivity to tools that turn this data into usable insights and relationships. Wherobots gives AI the ability operate on and understand raw physical-world data, and NVIDIA GPUs are core to it. Architecturally here’s how this works at a high level.
RasterFlow is now available in Public Preview
RasterFlow makes planetary-scale earth intelligence workflows easy and costs predictable. We are excited to announce that RasterFlow is now in Public Preview, opening up the power of planetary scale Earth Intelligence to all Wherobots Professional Edition customers! RasterFlow let’s you solve complex monitoring challenges with vision-language models or tailored models for specific use cases, without […]
Detecting Objects From Text Prompts with RasterFlow and Segment Anything 3
Exploring the capabilities of Segment Anything 3 on high-resolution Earth observation data.
Take-aways from the 2026 Geospatial Embeddings Workshop at Clark University
Some brief take-aways from a workshop to set standards for storing and sharing geospatial embeddings.
Enabling Meta’s SAM 2 model for Geospatial AI on satellite imagery
Easily perform object detection and segmentation on terabyte scale satellite and aerial imagery, on-demand, prompted by text with Raster Inference.
WherobotsAI Raster Inference is GA with Support for Bring Your Own Model
We are excited to announce that WherobotsAI Raster Inference is now generally available! Raster Inference is a serverless, planetary-scale computer vision solution that extracts meaningful insights from aerial imagery (raster data) sources, such as satellites or drones, and puts these insights at the fingertips of data scientists and developers.
Unlock Satellite Imagery Insights with WherobotsAI Raster Inference
Raster Inference makes satellite and drone imagery analytically and economically accessible to common developers
Introducing WherobotsAI for planetary inference, and capabilities that modernize spatial intelligence at scale
UPDATE: Raster inference is included in Wherobots RasterFlow. See Wherobots Get Started with RasterFlow – Wherobots for the most up-to-date workflows. We are excited to announce a preview of WherobotsAI, our new suite of AI and ML powered capabilities that unlock spatial intelligence in satellite imagery and GPS location data. Additionally, we are bringing the […]
